发布者:bat365中文官方网站办公室 时间:2016-11-17 阅读次数:1214
报告题目:Big Data Application in Supply Chain: Research and Study Opportunities
报告人:Li Zhou & Petros Ieromonachou (University of Greenwich, Department of Systems Management and Strategy)
报告时间:2016年11月18日(星期五)上午10:00 – 11:30
报告地点:三教102会议室
主持人:范体军
邀请部门:运营与供应链管理研究所
报告摘要:
Big data is revolutionizing supply chain. It has significantly changed the way of how people doing business and how people manage their supply chains.
The presentation by Dr Li Zhou starts from a brief introduction of supply chain and big data 5Vs’ features. It then illustrates how big data have been applied in supply chain management in order to improve performance. The industrial cases are provided to demonstrate how big data are implemented and how it revolutionises supply chain management in terms of contextual intelligence, supplier network, advanced analytics, risk management, optimisation, and so on. We then discuss the challenges in the course of big data implementation, such as value creation, investment, change management, technique maturity, infrastructure, etc. These challenges, in turn, also bring research opportunities which will be discussed during the presentation.
Dr Petros Ieromonachou then presents a brief introduction to the department he leads at the University of Greenwich in London and discusses research and study opportunities to students from ECUST.
报告人简介:
Dr Li Zhou(周莉)is a reader in Operations Management in the Department of Systems Management & Strategy, Business School, University of Greenwich. She is the founder and director of the Supply Chain Management research group at the Business School. Li’s principal research interests lie in the field of operations management, specifically sustainable supply chain management and reverse logistics. The focus of her research has been on modelling and simulating supply chains and reverse logistics systems to analyse their economic performance. She has had excellent opportunities to teach a variety of courses and do research in different universities in China, Sweden and the UK. She has acted in several different leadership roles during her international career. So far, she has had almost 100 articles published in various forms including journal papers, edited book chapters, and conference papers, including OMEGA, IJPE, OR Spectrum, SCM: An Int. J., etc. She is also a guest editor for the special issues for IJPE and a regular reviewer for a number of international journals.
Dr Petros Ieromonachou is the Head of Department of Systems Management and Strategy. He manages around thirty staff and hourly paid teaching fellows and oversees the delivery of around fifteen academic programmes of study at both postgraduate and undergraduate research level for around a thousand students.
Despite his line management duties, Dr Ieromonachou remains a research active academic with wide ranging interests and experience - transportation policy and management, tourism transport, energy and sustainable development, strategic niche analysis, and all his interests find a common tangent towards smart cities. He has recently formed a new research group for the SMS department, aptly titled ‘Connected Cities’. This group aims to bring together the expertise that various staff in the department have, including transport, logistics and systems operations, innovative manufacturing processes with a focus on 3D printing, as well as energy, waste and service quality management.
Dr Ieromonachou has written, managed and delivered various courses on transport and logistics and he is considered an expert in transport policy implementation and analysis. Previously, he worked at the Open University, and he continues this professional link as a visiting Research Fellow in the Design Group of the Faculty of Mathematics, Computing & Technology. Dr Ieromonachou's doctorate was funded by the Economic and Social Research Council and Atkins Consultancy and he has consequently been involved in projects funded by the Department for Transport (UK), the Energy Savings Trust (UK) and European Commission (FP7).